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Accession Number:
ADA056762
Title:
A Special Purpose Linear Programming Algorithm for Obtaining Least Absolute Value Estimators in a Linear Model with Dummy Variables.
Corporate Author:
TEXAS UNIV AT AUSTIN CENTER FOR CYBERNETIC STUDIES
Report Date:
1977-09-01
Abstract:
Dummy 0, 1 variables are frequently used in statistical modeling to represent the effect of certain extraneous factors. This paper presents a special purpose linear programming algorithm for obtaining least-absolute-value estimators in a linear model with dummy variables. The algorithm employs a compact basis inverse procedure and incorporates the advanced basis exchange techniques available in specialized algorithms for the general linear least-absolute-value problem. Computational results with a computer code version of the algorithm are given. Author
Descriptive Note:
Research rept.,
Supplementary Note:
Prepared in cooperation with Oak Ridge Associated Univ., Oak Ridge, TN.
Pages:
0021
Contract Number:
N00014-75-C-0569
Contract Number 2:
NSF-MCS707-00100
File Size:
8.37MB
